{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-05-26T10:01:52.349324Z",
     "start_time": "2025-05-26T10:01:52.326830Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "\n",
    "# df = pd.read_excel('https://www.gairuo.com/file/data/team.xlsx')\n",
    "df = pd.read_excel('team.xlsx')\n",
    "# df.shape # (100, 6) 查看行数和列数\n",
    "# df.info() # 查看索引、数据类型和内存信息\n",
    "# df.describe() # 查看数值型列的汇总统计\n",
    "# df.dtypes # 查看各字段类型\n",
    "# df.axes # 显示数据行和列名\n",
    "# df.index # 查看索引\n",
    "# df.columns # 列名\n",
    "# df.index\n",
    "df.set_index('name', inplace=True)\n",
    "# df.index\n",
    "# df.head()\n",
    "# df.Q1\n",
    "df[['team', 'Q1']]\n",
    "df.loc[:, ['team', 'Q1']] # 和上边效果一样\n",
    "# 用人工索引选取\n",
    "df[df.index=='Liver'] # 指定索引\n",
    "\n",
    "# 用自然索引选择，类似列表的切片\n",
    "df[0:3] # 取前三行\n",
    "\n",
    "df[0:10:2] # 前10个，隔一个取一个\n",
    "\n",
    "df.iloc[:10, :] # 前10行\n",
    "\n",
    "df.loc['Ben', 'Q1':'Q4'] # 只看 Ben 的四个季度成绩\n",
    "df.loc['Eorge':'Alexander', 'team':'Q4'] # 指定行区间\n",
    "\n",
    "\n",
    "# 单一条件\n",
    "df[df.Q1 > 90] # Q1 列大于90的\n",
    "# df[df.team == 'C'] # team 列为 'C' 的\n",
    "# df[df.index == 'Oscar'] # 指定索引即原数据中的 name\n",
    "\n",
    "# df.sort_values(by='Q1') # 按 Q1 列数据升序排列\n",
    "# df.sort_values(by='Q1', ascending=False) # 降序\n",
    "\n",
    "# df.sort_values(['team', 'Q1'], ascending=[True, False]) # team 升，Q1 降序\n",
    "\n",
    "# df.groupby('team').sum() # 按团队分组对应列相加\n",
    "# df.groupby('team').mean() # 按团队分组对应列求平均\n",
    "# 不同列不同的计算方法\n",
    "# df.groupby('team').agg({'Q1': 'sum',  # 总和\n",
    "#                         'Q2': 'count', # 总数\n",
    "#                         'Q3':'mean', # 平均\n",
    "#                         'Q4': 'max'}) # 最大值\n",
    "\n",
    "# df.groupby('team').sum()\n",
    "# df.groupby('team').sum().T # 行转列\n",
    "\n",
    "stacked = df.groupby('team').sum().stack()\n",
    "stacked\n",
    "stacked.unstack()\n"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        Q1    Q2    Q3    Q4\n",
       "team                        \n",
       "A     1066   639   875   783\n",
       "B      975  1218  1202  1136\n",
       "C     1056  1194  1068  1127\n",
       "D      860  1191  1241  1199\n",
       "E      963  1013   881  1033"
      ],
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>1066</td>\n",
       "      <td>639</td>\n",
       "      <td>875</td>\n",
       "      <td>783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>975</td>\n",
       "      <td>1218</td>\n",
       "      <td>1202</td>\n",
       "      <td>1136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>1056</td>\n",
       "      <td>1194</td>\n",
       "      <td>1068</td>\n",
       "      <td>1127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>860</td>\n",
       "      <td>1191</td>\n",
       "      <td>1241</td>\n",
       "      <td>1199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>963</td>\n",
       "      <td>1013</td>\n",
       "      <td>881</td>\n",
       "      <td>1033</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 57
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:02:54.624981Z",
     "start_time": "2025-05-26T10:02:54.617877Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 增加列\n",
    "df['one'] = 1"
   ],
   "id": "ac5f3b595d142816",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "         team  Q1  Q2  Q3  Q4  one\n",
       "name                              \n",
       "Liver       E  89  21  24  64    1\n",
       "Arry        C  36  37  37  57    1\n",
       "Ack         A  57  60  18  84    1\n",
       "Eorge       C  93  96  71  78    1\n",
       "Oah         D  65  49  61  86    1\n",
       "...       ...  ..  ..  ..  ..  ...\n",
       "Gabriel     C  48  59  87  74    1\n",
       "Austin7     C  21  31  30  43    1\n",
       "Lincoln4    C  98  93   1  20    1\n",
       "Eli         E  11  74  58  91    1\n",
       "Ben         E  21  43  41  74    1\n",
       "\n",
       "[100 rows x 6 columns]"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>one</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Liver</th>\n",
       "      <td>E</td>\n",
       "      <td>89</td>\n",
       "      <td>21</td>\n",
       "      <td>24</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arry</th>\n",
       "      <td>C</td>\n",
       "      <td>36</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ack</th>\n",
       "      <td>A</td>\n",
       "      <td>57</td>\n",
       "      <td>60</td>\n",
       "      <td>18</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eorge</th>\n",
       "      <td>C</td>\n",
       "      <td>93</td>\n",
       "      <td>96</td>\n",
       "      <td>71</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oah</th>\n",
       "      <td>D</td>\n",
       "      <td>65</td>\n",
       "      <td>49</td>\n",
       "      <td>61</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gabriel</th>\n",
       "      <td>C</td>\n",
       "      <td>48</td>\n",
       "      <td>59</td>\n",
       "      <td>87</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin7</th>\n",
       "      <td>C</td>\n",
       "      <td>21</td>\n",
       "      <td>31</td>\n",
       "      <td>30</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lincoln4</th>\n",
       "      <td>C</td>\n",
       "      <td>98</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eli</th>\n",
       "      <td>E</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>58</td>\n",
       "      <td>91</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ben</th>\n",
       "      <td>E</td>\n",
       "      <td>21</td>\n",
       "      <td>43</td>\n",
       "      <td>41</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 58
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:03:41.151242Z",
     "start_time": "2025-05-26T10:03:41.143677Z"
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   },
   "cell_type": "code",
   "source": [
    "df['total'] = df.Q1 + df.Q2 + df.Q3 + df.Q4\n",
    "df"
   ],
   "id": "cfcd49642585f312",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "         team  Q1  Q2  Q3  Q4  one  total\n",
       "name                                     \n",
       "Liver       E  89  21  24  64    1    198\n",
       "Arry        C  36  37  37  57    1    167\n",
       "Ack         A  57  60  18  84    1    219\n",
       "Eorge       C  93  96  71  78    1    338\n",
       "Oah         D  65  49  61  86    1    261\n",
       "...       ...  ..  ..  ..  ..  ...    ...\n",
       "Gabriel     C  48  59  87  74    1    268\n",
       "Austin7     C  21  31  30  43    1    125\n",
       "Lincoln4    C  98  93   1  20    1    212\n",
       "Eli         E  11  74  58  91    1    234\n",
       "Ben         E  21  43  41  74    1    179\n",
       "\n",
       "[100 rows x 7 columns]"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>one</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Liver</th>\n",
       "      <td>E</td>\n",
       "      <td>89</td>\n",
       "      <td>21</td>\n",
       "      <td>24</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arry</th>\n",
       "      <td>C</td>\n",
       "      <td>36</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ack</th>\n",
       "      <td>A</td>\n",
       "      <td>57</td>\n",
       "      <td>60</td>\n",
       "      <td>18</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eorge</th>\n",
       "      <td>C</td>\n",
       "      <td>93</td>\n",
       "      <td>96</td>\n",
       "      <td>71</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oah</th>\n",
       "      <td>D</td>\n",
       "      <td>65</td>\n",
       "      <td>49</td>\n",
       "      <td>61</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gabriel</th>\n",
       "      <td>C</td>\n",
       "      <td>48</td>\n",
       "      <td>59</td>\n",
       "      <td>87</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin7</th>\n",
       "      <td>C</td>\n",
       "      <td>21</td>\n",
       "      <td>31</td>\n",
       "      <td>30</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lincoln4</th>\n",
       "      <td>C</td>\n",
       "      <td>98</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eli</th>\n",
       "      <td>E</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>58</td>\n",
       "      <td>91</td>\n",
       "      <td>1</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ben</th>\n",
       "      <td>E</td>\n",
       "      <td>21</td>\n",
       "      <td>43</td>\n",
       "      <td>41</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 7 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 60
  },
  {
   "metadata": {
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   "cell_type": "code",
   "source": "df['Q1'].plot()",
   "id": "db49bdf567eb9e07",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='name'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 61
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:05:02.725487Z",
     "start_time": "2025-05-26T10:05:02.650131Z"
    }
   },
   "cell_type": "code",
   "source": "df.loc['Ben','Q1':'Q4'].plot()",
   "id": "22a5757a318746ec",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 62
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:05:30.284604Z",
     "start_time": "2025-05-26T10:05:30.210254Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# df.loc[ 'Ben','Q1':'Q4'].plot.bar() # 柱状图\n",
    "df.loc[ 'Ben','Q1':'Q4'].plot.barh() # 横向柱状图"
   ],
   "id": "8ebcd099f296d979",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 64
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:06:13.292805Z",
     "start_time": "2025-05-26T10:06:13.185727Z"
    }
   },
   "cell_type": "code",
   "source": "df.groupby('team').sum().T.plot() # 各 Team 四个季度总成绩趋势",
   "id": "7c572a2a558336f4",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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dk6amjomEVqeBpzDAEBERDVTZa93Dp8X8LzMSu55vLWdfhdynTYiBJzHAEBERDVDW/avQVKWTx6Vj4pAWmtbp+TWlRlQVGaBWqzB4nGdnf2eAISIiGoia6mHcvR8qqJAbA4wdcW6Xywdk73N0Hw0aEQ6/QEfw8RQGGCIiooHo5CY0FGvd9S/d6j7a6x3dRwIDDBER0QCknFiL+hJ/eZyVpsb0+M6XDzDUNqEkp1Yep02IhqcxwBAREQ1A5t2rYTdqYBEDiSaMQbh/eKfnn8ysABQgNjUEwRGO4ONJDDBEREQDTV0RDAcL5eHhJBXOGTyr+6OPMjzffSQwwBAREQ002etgcA2fFvO/DOo8wJgbrcg/XCWP072g/kVggCEiIhpglKOr0eBaPmBoAMbHjO/0/LwDVbBbFYTHBSIiIRDegAHGB4mFHJcsWYL09HT4+fkhOTlZLuS4evVqT18aERF5O0WBaduPgEWNugAgLmM6dGpdt2bfFcW7XQ217itcC8nHnDx5ErNmzUJ4eDheeOEFjBs3DhaLBd9//z3uvvtuHD582NOXSERE3qzsIAwnTWI5YGQNVmFmUufdRzarHblZjvqXdC+pfxEYYHzMXXfdJdPv9u3bERQU5L5/zJgxuPnmmz16bURE5ANOrEVdSXP9y4OJMzs9vfBoNcyNNgSE6hE3OBTeggHGuTS4ySrSaN8L0AZ0uzmuqqoKK1aswJ/+9KdW4cVFtMoQERF1xnbQsXyA+OQpG5OAlJCUbk5eFw2V2ju6jwQGGECGl2kfTfPI1972i20I1HWvIOr48eMybI0cObLXr4uIiPohaxMM23dBpQSjIAoYNbrz5QMUu4Ic5/IB3jL6yIVFvD5EhBciIqIzlr8dhiJHYJH1L110H5Xl1sNQa4bOX4OkERHwJmyBcXbjiJYQT33t7ho2bJhMyizUJSKiM5LdXP+Sla7BrQnTurV4Y+rYKGh03tXmwQADyFDQ3W4cT4qMjMSCBQvwxhtv4N577z2lDqampoZ1MERE1CHzrpWwN2hhVQOqiWMRqu+8KDdnr3d2HwneFaeoSyK82Gw2TJ06Ff/73/9w7NgxHDp0CK+99hpmzOh6JVEiIhqgjFUwZJ6Qh0cHAVPSz+309OoSA6pLjFBrVEgZGwVvwxYYHyMmr9u9e7ccifTggw+iuLgYMTExmDx5Mt566y1PXx4REXmrkxvQUKKXh1mD1VjURf2La+0jUfviF+B9ccH7roi6lJCQgNdff11uRERE3aEcW4P6Mj85fPrYsECMjR7bvdl3vWjyupbYhURERDQANG5bA5VZjQZ/IHbyTGjVHbdhGGqbUJpTJ4/TxkfDGzHAEBER9XdVOTAcc6wmvT9VhRldLB/g6j6KSwtFULhj1JK3YYAhIiIaQMOnM9NUmJHY+aAP9+R1Xtp9JDDAEBER9XO2Q6vRWOEo4K0YOwjJIckdnttksqLgcLV7+QBvxQBDRETUn9ltMG7dDJWiQkk4MGLseZ2enre/Enabgoj4QETEn7runrdggCEiIurPivfCkGd1dx91tXyAa/bdNC+cvK4lBhgiIqL+7MRa1Jb6y8P9aRpMjZ/a4ak2ix25+yvlcVqG93YfCQwwRERE/Zhl7yrY67SwqwDVlPEI1gd3eG7B0WpYGm0IDNMjLrXzZQY8jQGGiIiovzIbYNi9Xx4eTwAmDTm3W2sfie4jldqxarW3YoAhIiLqr3K3oL5I0636F8WuuOd/Sffy7iOBAcbH3HjjjXL1bLHpdDrExcXhoosuwt///nfY7XZPXx4REXkR5fga1DvrX44ND8aYqDEdnlt6sg7GOjP0/hoMGh4Bb8cA44MuvvhiuYjjyZMn8d1332Hu3Lm47777cPnll8NqdVSaExERNW5bBVWTGkY9EDNlJjRqR2tMZ2sfpY6Lhkbr/fGAizn6ID8/P8THx8vjQYMGYdKkSZg+fTouvPBCfPDBB7j11ls9fYlERORp9aUwHCoEEIqDKSrMTO64/kVRlObFG7148rqWGGCc/+MUk8kjX1sVECC7g87WBRdcgAkTJuDzzz9ngCEiIiBnvXv5gH1pKiztZPmA6hIjastMUGtVSB0TBV/AACMCjMmEI5Mme+Rrj9i9C6rAwB55rZEjRyIzM7NHXouIiHyb/dAqNJbrIf5ErhqXhMTgxC7XPkoaEQl9gG9EA+/v5KLTaknqidYcIiLycYoC45YfobKrUB4KDBt/fqenZ+89vdFHf9+Yg4c+24esglp4im/ErD7oxhEtIZ762j3l0KFDSEtL67HXIyIiH1V+BIYcA4Bgx/DpQbM6PLWhugllJ+sgmmoGj4/u1h/L/96WixPlBkxNi8S4pDB4AgOMCBFiWHIPdeN4ypo1a5CVlYUHHnjA05dCRESelr0ONc7h0wfStbg5/pwuu4/i08IQFOaomelMVmGtDC9+WjUuGesYUOIJDDA+qKmpCSUlJbDZbCgtLcWKFSvwzDPPyGHU119/vacvj4iIPMyy7wfYa7QQs4OpJo9HoC6wywDT3bWPPt8tRjYBF42OQ4i/Dp7CAOODRGBJSEiAVqtFRESEHH302muv4YYbboBazbImIqIBzWaBcftuAAHIiQcmDu+4/qXJaEHhkRp5nN6N1actNjuW7yuSx4snDYInMcD4GDHPi9iIiIjaVbAD9YWKPBT1LwsHdbx8gFh52m5XEJEQhPC4rkspNh6rQKXBjKggPc4d1nXg6U38c52IiKifLR9Q56x/yR4eglGRo7oefdTNyes+3+PoPrpiQiJ0Gs9GCAYYIiKifqRp+yqoTGo06oDoc2ZDrWr/o95qsSHvQKU8TsvoujWlvtGCHw6UyOOrJnq2+0hggCEiIuovGmthyDwuDw8lqzAtdXaHpxYcroalyYagcD/EpoZ0+dIr9pegyWpHekwQxnto6HRLDDBERET9Rc4G1Jbo3fUvMzpZPiDHufaR6D7qziSoy5zdR1dlDPKKSVMZYIiIiPoJ+5FVMJU5Akz1uBTEB7U/T4so3M3JrOh291FxrQlbsh3dTYu8oPtIYIAhIiLqJ0yb10JtU6EqGEif2PHw6dLsWpjqLXLdo8Th4V2+7pd7i8TqBJg6OBLJkd4x8SsDDBERUX9Qk4eGY45WkqzBnS8fkL3P0foyeFwUNF2MJhJLByxzTl7nLa0vAgMMERFRf5C9DtUtlg+YEj+lw0CS7ax/SevG5HUHi+twpLQeeo0al41LgLdggCEiIuoHrJk/wF7lmJ9WNTUDAdr2FwuuKjagrtwEjVaNlDGRXb7uF87i3QtHxSIs0HNLB7TFAENEROTr7HYYtm6FCiqcjAUyRs7pcvRR8qgI6P07n5DfZldk/Yu3dR8JDDA+5sYbb3Ssnt1mu/jiiz19aURE5CmlWajPNTfXvyTO7HL23e6MPtp0vAJl9U0ID9Rh7ohYeBOuheSDRFh5//33W93n59f1EuhERNR/lw+oLfOXrRLZI0IxPGJ4u+fVVzWiPK8eUIkC3uhudx9dPj4Beq13tXkwwPggEVbi49sf209ERAOPeccPUBs0MGuAqOnndrh8QI5z9FHCkDAEhjrmi+mI0WzFCvfSAUnwNgwwzopsq9nuka+t1au9YkZDIiLyURYTDLsPAAjCYbF8wOBzOzw1Z1/3Rx99f6AERrMNqVGBmJTS9VwxfY0BRlRum+145771Hvnat796PnR+mtN6ztdff43g4OBW9z3xxBNyIyKiASZvC2qKNe7lA+5PaH/5gEaDBYVHa+RxWjdWn162x1m86yVLB7TFAOOD5s6di7feeqvVfZGRXQ+FIyKi/kc5tgamMj9Z/1I7PhUxge23ruTur4RiVxCZGITw2M5n0y2ra8TGY+Ves/J0exhgnN04oiXEU1/7dAUFBWHo0KG9cj1ERORbTJtWQW1RoTYQSJt8QYfnuSavS+/G6KOv9hXBrgATU8IxODoI3ogBRkz4o1KddjcOERGRxxkq0HCwAECIHD49I6n94dNWsw15Byq7HWA+dy4dsNhLW1+E0/rzX3RbjB8/HqGhoXKbMWMGvvvuO/fjjY2NuPvuuxEVFSVrNK6++mqUlpa2eo28vDxcdtllCAwMRGxsLB5++GFYrdZW56xbtw6TJk2So21ES8MHH3xwtt9nv9LU1ISSkpJWW0WFo7KciIgGkOx1qHIuH3AwXYdJsZPaPS3/cLWs9wyO8EN0cusayraOlNTL5QO0ahUuH5+IfhFgkpKS8Oyzz2LXrl3YuXMnLrjgAixcuBAHDojqZ+CBBx7A8uXL8dlnn2H9+vUoKirC4sWL3c+32WwyvJjNZmzevBkffvihDCdPPfWU+5ycnBx5jqjz2Lt3L+6//37ceuut+P7773vy+/ZpK1asQEJCQqtt9uzZnr4sIiLqY7b9P8Be6ehMUU+dCH+tI8x0NPuumLyuq4LcZc65X+aMiEVEUOdDrT1KOUsRERHKe++9p9TU1Cg6nU757LPP3I8dOnRIEV9iy5Yt8va3336rqNVqpaSkxH3OW2+9pYSGhipNTU3y9iOPPKKMGTOm1de45pprlAULFpzWddXW1sqvLfZtmUwm5eDBg3I/UAzE75mIqF+z25Xae0YpB0eMVH6YOVL5YP8H7Z5ms9mV9x78UXn916uV/EOVnb6kOHf6n1cpqY9+rXyTWaR4Qmef3y2d8bR6ojXl448/hsFgkF1JolXGYrFg3rx57nNGjhyJlJQUbNmyRd4W+3HjxiEuLs59zoIFC1BXV+duxRHntHwN1zmu1+isW0W8TsuNiIio36o8gfrsBvfw6RmJ7Q+fLjlRi8YGC/wCtUgY1vl8LltzKlFc24gQfy0uGOldSwe0ddoBJisrS9a3iPqUO+64A8uWLcPo0aNlHYZer0d4eOs3R4QV8Zgg9i3Di+tx12OdnSMCiclk6vC6nnnmGYSFhbm35OTk0/3WiIiIfEf2WtSUObqMckeEY1j4sPZPc05eJ5YO0Gg6/9hftrt56QB/naZ/BZgRI0bI2pRt27bhzjvvxA033ICDBw/C0x5//HHU1ta6t/z8fE9fEhERUa8x71gBdb0GVjUQMePcdmtbxEzzrvqXrkYfmcw2fLe/xD15nbc77WHUopXFNQfJ5MmTsWPHDrz66qu45pprZHFuTU1Nq1YYMQrJtW6P2G/fvr3V67lGKbU8p+3IJXFbjHoKCAjo8LpEixAXNCQiogHBZoVhx24A/jg6CJiafl67p1UWGlBX0QiNTo3k0Z1PeLrqUCkamqwYFB6AcwZ7/+SoZ720pN1ul/UnIszodDqsXr3a/diRI0fksGlRIyOIveiCKisrc5+zcuVKGU5EN5TrnJav4TrH9RpEREQDXtFuVDl6e7AvTY3pCdM7XfsoeVRkl/OduUYfiZl31WrvWzrgrFpgRDfNJZdcIgtz6+vr8dFHH8k5W8QQZ1F3csstt2Dp0qVyWnsRSpYsWSKDx/Tpjjd2/vz5Mqhcd911eP7552W9y5NPPinnjnG1noi6mtdffx2PPPIIbr75ZqxZswaffvopvvnmmx7/5kX4GigG0vdKRNTfKUdXw1TqBxFJ6iekISogqovZdztf+6iioQnrjzrOXeTFk9edcYARLSfXX389iouLZWARk9qJ8HLRRRfJx19++WWo1Wo5gZ1olRGjh95880338zUajVyIUNTOiGAjpsQXNTS///3v3eekpaXJsCLmlBFdU2Lumffee0++Vk8R3WDiOsU8NTExMfK2Ny5U1RNE/6fo2isvL5ffs/heiYjItzVu+QEaswoN/kDK1LntnlNXaUJFfgPEx5so4O3M1/uKYLMrGJ8UhqGxnU905y1UYiw1+iExakmELFHQK1qD2hIf6iKIGY1GDARi5mMx4R0DDBGRj2uqR/mvRqMiKxhbRqow5q33MS1h2imn7VuTj42fHkPisHBc9WD7M/S6LHx9I/YV1OLpK0bjpllp8ObPbwz0tZDEB7noChPLGIg5bfoz0fKl1Wr7bSsTEdGAcnITKkodZReH0vX4VezETutf0iZ03vpyorxBhheNWoUrJnjv0gFtDdgA417EUaeTGxERkS+wHVwJe7lWjsJRT82AXnNqy7qYuK7oWG23hk9/4SzePW9YNKKDfWc071mPQiIiIqK+Y9y4FmpFheIIYNz41jPXu5zMqoBiVxCVFIzQ6I6nILHblebRR5OS4EsYYIiIiHxFbSHqjlbIw8zBKsxMnNn56KMuuo925lajoNqEYD8tLhrVehZ8b8cAQ0RE5Cuy16HauXxA3sgIpIWdWnBrMduQf7DKvfp0Z5btKZD7i8fGI0Dv3UsHtMUAQ0RE5CMsu1dAU6uBTQVEzGx/+QARXqwWO0Ii/RGd1PGQ6EaLDV9nFsvjxT4y90tLDDBERES+QFFg2LJNHh5PBM4ZOqfz0UcZ0Z2OPl17uAz1jVYkhPljenr7E+F5MwYYIiIiX1B6AJX5ZnmYNVjd7twvdpsdJzMr5XH6hM67jz53Fu9emZHoE0sHtMUAQ0RE5AOU42tgKnEMc67LSEeEf8Qp5xQfr0WjwQL/IB0ShoZ1+FrVBjPWHXGsS7h4om+NPnJhgCEiIvIBjZu/g6ZJDaMeSJl2QbvnZDu7jwaPj4Ja0/FH/NdZxbDYFIxOCMWI+BD4IgYYIiIib2dtQsPug/LwQKoKM1LOPeUUsTJQzl7HEOu0LrqPlu0ucK887asYYIiIiLxd/jZUlDgmzz88xA8TYiacckpFQQPqqxqh1amRPDqyw5fKrTRgd14NRNnLwgzfWTqgLQYYIiIiL2c/tBL2MseyN+qpE6HTnLoETo5z8joRXnSdzOnimnl31tBoxIY65pTxRQwwREREXs64YRXUdhXKwoDRGRe2e072voou1z4S3UzupQN8uPtIYIAhIiLyZsYq1Bx0hI4ssXzAoFmnnFJXYUJlQQNUahUGj+t4+YA9+TXIrTQiQKfBgjHx8GUMMERERN4s50dUlzqGT+ePjERqaGqHax8lDguDf/Cp3Usuy3YXupcOCPJz1NT4KgYYIiIiL2bZuwLaGi3sAMJmtb98QM6+rkcfma12LM8s6hfdRwIDDBERkRczbNwo99nxwJThc0953FRvRvHxGnmc1snq02LiuhqjBTEhfpg5xPeWDmiLAYaIiMhbVWWjMqdBHu5Pb3/5gJNZFWKZJEQnByM0KqDDl/pir6P7aOGERGg7meTOV/j+d0BERNRPKSfWwuisf6nPGIIwv1OXB8je2/Xoo1qTBasOOZYOuGqS73cfCQwwREREXqpp87fQmtRo1AFJM+ad8rilyYb8Q1Vd1r98m1Usa2CGxwXL5QP6AwYYIiIib2S3oX7HXnl4MFmFGamnLh+Qf7AKNosdodH+iBoU1OFLNc/9ktRuEbAvYoAhIiLyRkV7Ue4YNIQjQ/0wNnpsh8On0zJiOgwm+VVGbM+pgsrHlw5oiwGGiIjIC9mP/AB7qWv5gEnQqVvP72Kz2WUBr5DeSffRl87i3elpUUgM77jI19cwwBAREXkh04aV0NhUqAoGRk2+6JTHi4/VoMlolRPXxQ85tbj3lKUD+knxrgsDDBERkbcxG1CdeUIeZqa1v3xAtmvyuvHRUIulpduRVViLE+UG+GnVuGSsby8d0BYDDBERkbfJ3YyqEr08LBwVjeTQ5FNaVnJa1L905HPn0gHzx8QjxL/jJQZ8EQMMERGRl7HuWwFdlWOtIrF8QFsV+Q1oqG6CVq9G8siIdl/DYrNj+T7X0gH9p3jXhQGGiIjIyxg2rJf7k7HApFEXdDj6KGVMFLR6TbuvsfFYBSoNZkQF6XHusI5baXwVAwwREZE3qS9F+XFHfUtWmhpT46d2GGDSO+s+chbvXjEhEbp+sHRAW/3vOyIiIvL15QNKHMsHNEwcihB9SKvHa8qMqCoyQKVWIXVs+4sy1jda8MOBkn6z8nR7GGCIiIi8iHnbN9AZ1DBrgEGzTl0+IMc5+mjQ8HD4B7VfmLtifwmarHakxwRhfFL7Q6x9HQMMERGRt1AU1G/ZLg8PJ6swffB5p5ySs885+qiTyetcc78snjio3ywd0BYDDBERkbcoP4LSAqs8PDzUH2OixrR62FhnRvGJWnmcNiG63ZcorjVhS3alPF6Y0T+7jwQGGCIiIi+hHF0FpcTRLaSZNglatWMotYtcOkABYlJCEBLp3+5rfLm3SDTkYOrgSCRHBqK/YoAhIiLyEqYfv4PGqkJtIDDynPmdjD6K7njpgN39c+mAthhgiIiIvIHVjKo9h+Rh5mAVZiS1Xj7A3GhFwaHqTmffPVhchyOl9dBr1Lh0XAL6MwYYIiIib1CwA5XFjknpikZHY1Bw6xaUvANVsFntCIsJQGRCULsv8YWzePfCUbEIC+hfSwe0xQBDRETkBWxZ30NX6QgwobM6GX2UEdPuyCKbXZH1L/157peWGGCIiIi8gOHH1VApKuRHA5PGtp7/xWaz42SWY2RRegejjzYdr0BZfRPCA3WYMyIW/R0DDBERkaeZalB62NH9sz9Ng3Piz2n1cNHRGphNVgSE6BCX3v7EdK7uo8vHJ0Cv7f8f7/3/OyQiIvJySs6PMBY7lw/IGIIgXesalxzn6KO08dFQq0/tPjKarVjhXjogCQMBAwwREZGHWXZ8C32DGlY1MOjc1sOnFbuCbOfyAR2NPvr+QAmMZhtSowIxKSUcAwEDDBERkYfVbdok90eSgOnpc1o9VpZXD0NNE3R+GiSNjGj3+Z87535ZlNF/lw5oiwGGiIjIk2ryUHLSIA+PDg3AyMiR7XYfpYyJglbnGKXUUlldoyzgHSijj1wYYIiIiDxIOboaSoleHmumTYZG3TqkuLqPOpp996t9RbArkF1Hg6Pbnx+mP2KAISIi8iDThq+hNavQ4A8Mn3Zxq8dqSo2oLjbIwt3UsVGddh9dNYBaXwQGGCIiIk+x21G1c588zBLLByS3Xj4g2zl53aAR4fALPHVm3SMl9XL5AJ1GhcvHJ2IgYYAhIiLylJJMVBQ6im6LRscgPii+1cM5e52jjya0P/pomXPuFzFxXUSQoxtqoGCAISIi8hDbge+hK3ctH3Buq8cMtU0oyantMMDY5dIBjgCzeIB1HwkMMERERB5iWP891IoKRRHAxAkLWj12MrMCUIDYwaEIjnBMctfS1pxKFNc2IsRfi7kj+//SAW0xwBAREXmCxYTSrJPy8EC6BpPjJrd6OHtv56OPlu1uXjrAv53h1f0dAwwREZEn5G1BQ4lWHhozhiJQF+h+SKx7VHCkqsPuI5PZhu/2D6ylA9pigCEiIvIAy46v4V+rgU0FxLdZPiD3QCXsVgXhcYGIiG8ONi6rDpWiocmKQeEBmJLa/uy8/R0DDBERkQfUblwv98cSgWnD5rZ6LMe19tGE6HaXBli2p3nul/YWdxwIGGCIiIj6WkM5io9Xy8PjQwMwInKE+yGb1Y7cLFf9y6ndRxUNTVh/1DE/zKIBOPrIhQGGiIiojynH18Je7Ji3RTV9MtSq5o/jwiPVMDfaEBiqR9zg0FOeu3xfEWx2BeOTwjA0NhgDFQMMERFRH2vctBz6JhWMfsCwmZe0u/aR7D5qp3voixbdRwMZAwwREVFfUhRUbtslDw+kqDAzuXkCO8WuIMe5fEBaO91HJ8obsK+gFhq1CldMGFhLB7TFAENERNSXKo+jPN8sD4tHxyImsDmolObWwVhrhs5fg6ThER3O/XL+8BhEB586ud1AwgBDRETUh+wHf4Cu1DH/S8jsc9td+0isPK3RqU9ZOuAL59IBiwZ495HAAENERNSHDGu/hcauQlkYkDHx4laPubqP0tuZvG5nbjUKqk0I9tNi/ug4DHQMMERERH3FZkVx5hF5uD9Ng0nxzcsHVJcYUF1ihFqjQsrYqFOeumxPgdxfMjZ+QC4d0BYDDBERUV8p3IWGIsdHr3HiMPhr/d0PZe91tL4kjYiAX4Cji8ml0WLD15nF8nigjz46owDzzDPP4JxzzkFISAhiY2OxaNEiHDniSJIujY2NuPvuuxEVFYXg4GBcffXVKC0tbXVOXl4eLrvsMgQGBsrXefjhh2G1Wluds27dOkyaNAl+fn4YOnQoPvjgg9O5VCIiIq9j2f0NAqo1sAOIP29++7PvtjP6aO3hMtQ3WpEQ5o/p6ae2zgxEpxVg1q9fL8PJ1q1bsXLlSlgsFsyfPx8Gg8F9zgMPPIDly5fjs88+k+cXFRVh8eLF7sdtNpsML2azGZs3b8aHH34ow8lTTz3lPicnJ0eeM3fuXOzduxf3338/br31Vnz//fc99X0TERH1udr1q+U+OwGYOuIC9/2GmiaU5tS5539p63Pn3C8LMwbu0gFtqRRFUXCGysvLZQuKCCrnnXceamtrERMTg48++gg/+clP5DmHDx/GqFGjsGXLFkyfPh3fffcdLr/8chls4uIcRUhvv/02Hn30Ufl6er1eHn/zzTfYv3+/+2v9/Oc/R01NDVasWNGta6urq0NYWJi8ptDQU2cyJCIi6lONdchcnAFdth9WnBuI+9/Z6V7naP+PhVj/0RHEpYXiJ49OafW0aoMZU/+8Chabgu/vPw8j4kPQn3X38/usamDEiwuRkZFyv2vXLtkqM2/ePPc5I0eOREpKigwwgtiPGzfOHV6EBQsWyAs+cOCA+5yWr+E6x/Ua7WlqapKv0XIjIiLyFkrOBtiLdfJYPX1yq0Uac5z1L+2tffR1VrEML6MTQvt9eDkdZxxg7Ha77NqZNWsWxo4dK+8rKSmRLSjh4eGtzhVhRTzmOqdleHE97nqss3NEKDGZTB3W54jE5tqSk5PP9FsjIiLqcU0bv4KfSY1GHTBk9qXN95usKDhS3WH30bLdjtFHiyexeLdHAoyohRFdPB9//DG8weOPPy5bhFxbfn6+py+JiIjIrXzrVrk/mKLC9JTZ7vvz9lfCblMQER+IiPigVs85WWHA7rwaiLKXKwf40gE9EmDuuecefP3111i7di2SkpLc98fHx8viXFGr0pIYhSQec53TdlSS63ZX54i+sICAgHavSYxWEo+33IiIiLxCbSHKchwDXkpGxyI6IPqU4dNp7Uxe55p5d9bQaMSGNg+5ptMMMKLeV4SXZcuWYc2aNUhLS2v1+OTJk6HT6bB6taPKWhDDrMWw6RkzZsjbYp+VlYWysjL3OWJEkwgco0ePdp/T8jVc57heg4iIyJfYD6+Cvp3lA2wWO3L3V7Zb/yI+c5c5Rx+x++hUrWfK6Ua3kRhh9OWXX8q5YFw1K6LmRLSMiP0tt9yCpUuXysJeEUqWLFkig4cYgSSIYdciqFx33XV4/vnn5Ws8+eST8rVFK4pwxx134PXXX8cjjzyCm2++WYalTz/9VI5MIiIi8jXGtV9Ba1OhKhgYf05z/YuofbE02RAUpkdsausCXdF1lFtpRKBegwVjHD0UdIYtMG+99ZasL5kzZw4SEhLc2yeffOI+5+WXX5bDpMUEdmJotegO+vzzz92PazQa2f0k9iLY/OpXv8L111+P3//+9+5zRMuOCCui1WXChAl48cUX8d5778mRSERERD7FbkfBbse0IPvTNZgYN8n9UPa+5u4jVZv5Xb5wtr6I8BKoP632hgHhtN6R7kwZ4+/vjzfeeENuHUlNTcW3337b6euIkLRnz57TuTwiIiLvU3YADYUKRHmuMWMY/DSO3gbFrrSYfbf16COz1Y7lmUXymEsHtI9rIREREfUi695vEVTpWHwxfk5zT0LpyTqY6szQ+2swaHhEq+esO1KGGqMFMSF+soCXTsUAQ0RE1Itq1jqWwcmJA6aOvuiU0Uep46Kh0arbHX20cEIiNFw6oF0MMERERL3F0oiCg3ny8PiQQKSHpbtLMpqHT7duYak1WbDqkGOk7lUcfdQhBhgiIqJeouRthb1Ic8ryAdXFRtSWmaDWqpA6tvXq0t9mFcsamBFxIXL5AGofAwwREVEvMW/+EgEGNcxaYOj5l58y+ih5ZCT0/q3H07jmfhGtLy3XS6LWGGCIiIh6SemmDXJ/KEmFaannnrJ4Y9vuo/wqI7bnVEHkloUZXDqgMwwwREREvcFYhbITjqV1SkfHIMLfMdKooboRZbn1gAoYPL51gPnSWbw7Iz0KCWHtL51DDgwwREREvUA5uhr6Ekf3UPC557nvd839Ep8WhqAwv+bzFQWfu7qPOPdLlxhgiIiIeoFh7ZfQWVSoCQTGT2uuf8lxzb7bZvK6rMJaZJcb4KdV4+KxXDqgKwwwREREPU1RkL9ztzw8mK5BhnP5gEaDBYVHHN1K6W1Wn/58t6P1Zf6YeIT46/r8kn0NAwwREVFPq85BQ55VHhozhkKncQQSsfK03a4gMjEI4XGB7tMtNjuW73MsHbCY3UfdwgBDRETUw2z7vkVQueMjNq7F8gHu7qM2o482HqtApcGMqCA9Zg/j0gHdwQBDRETUw6rXfAMVVMiLBs4Zd7G8z2qxIfdAlTxOz2jTfeQs3r1iQiJ0Gn40dwffJSIiop5ktyE/64Q8zB4aiMGhg+VxweFqWJtsCAr3Q0xKiPv0+kYLfjhQIo8Xc+mAbmOAISIi6kFK4W7YCx0z6KqnTXLPpuuavC59QnSrGXZX7C9Bk9WO9JggjBsU5qGr9j0MMERERD3IsvVLBNarYVUDaXOvkPeJwt2cTMf8L2ltuo9cSweI4l0uHdB9DDBEREQ9qPjHNXJ/RCwfkHa+PC7JroWp3gK/QC0Sh4c3n1trwpbsSnm8MIPdR6eDAYaIiKinNDWg9Gi5e/mAML+wVt1HqeOioGlRpPvl3iIxZQympkUiObJ5WDV1jQGGiIiohyjZG+BXrJHHwbPPdy8RkO1cPqDl5HXi/mXOyeu4dMDpY4AhIiLqIca1y6A3q1DvD4ybeaW8r6rIgLpyEzRaNZJHR7rPPVhchyOl9dBr1bh0XIIHr9o3McAQERH1kJPbt8n9oTQNxsVPaDV5XfKoCOj9HYs7Cq7Wl3mjYhEWwKUDThcDDBERUU+oL0FDjkkeGjOGQKd2hJLsvaeOPrLZFXzpXDpgEYt3zwgDDBERUQ+w7V+B4DLHx2rs3Evkvr6qEeV59YAKGDyueYmATccrUF7fhIhAHeaMiPXYNfsyBhgiIqIeUL3qS6gVFYoigXMyLm3VfZQwJAyBofpT5n65fHyirIGh08d3jYiI6GwpCvL2HXIvH5ASmtKq+6jl2keGJqucfVdYxNFHZ4wBhoiI6GyVH4YtX5GHqqmT5L7RYEHRsZpTVp/+4WAJTBYbBkcFYlJK86R2dHoYYIiIiM6SeduXCK5Vw6YC0i9YKO/LzaqAYlcQNSgIYTHNk9R97hx9JFpfuHTAmWOAISIiOktFa1fI/bFBKkwZep48dk1el9Zi8rqyukZZwCtw8rqzwwBDRER0NqxmlBx2DIkuGxmNUH0orGYb8g5UnlL/8tW+ItgVyK6j1Kggj11yf8AAQ0REdBaU3G3wK3R8nAaf61g+IP9QFaxmO4Ij/BCdHHxK99FVk5I8dLX9BwMMERHRWTCu/y/8m1Qw+AFjzl3UuvsoI8Zd53KkpF4uH6DTqHA5lw44awwwREREZyFn80a5P5Kqwdj4CbDb7DjpWryxRfeRa+4XMXFdRFDznDB0ZhhgiIiIzpSpGvUn6uWhMSMdWrUWJdm1cgi1X6AWiUPD5GN2sXTAXkeAWczi3R7BAENERHSG7IdWI6TUuXzABZe2mrxu8PhoqDWOx7ZmV6K4thGh/lrMHcmlA3oCAwwREdEZqlz5P2jsKpSGA5MmXQZFUdzLB6RPOLX76LLxCfDXaTx2vf0JAwwREdEZyt2TKfc5QwKQHJqMykID6ioaodGpkTw6Uj5mMtvwnXPpgKsmcvRRT2GAISIiOhPVubDlWh3HUzPkLnuvo/UleVQkdH6OlpaVh0rR0GRFUkQApqRGeO56+xkGGCIiojNg2fkVQqvVsKuAtAsXy/vc3UcZzWsffeHsPhIz76rVXDqgpzDAEBERnYH81cvlPjtehSnD56CuwoSK/AaIaV9EAa9Q0dCE9UcdoYYrT/csBhgiIqLTZbej9ECuPCwdGYlgfTBynHO/JAwNR0CwY56X5fuKYLMrmJAUhiExzTPy0tljgCEiIjpNStEe+BU4uoOCz5vTpvsopt3uI+pZDDBERERnsHxAgEmFRh0wds7VaGywoOhYjXwsbYKj++hEeQP2FdRCo1bh8gmJHr7i/ocBhoiI6DRlb1wr90dTNRgVNx4nsyqgKEBUUjBCowPkY8ucCzeePzwG0cF+Hr3e/ogBhoiI6HSYjag7ViUPDRMGQ6PWuIdPpztbX8TSAV84lw5g91HvYIAhIiI6DfZj6xFa7Fo+4DJYzDbkH6xyrz4t7MytRkG1CcF+Wlw0Os6j19tfMcAQERGdhopVn0JrU6EyBJg0daEML1aLHSFR/ohOcow0WranQO4vGRvPpQN6CQMMERHRaTi5fbfcZw8JQGJIInLc3UcxUKlUaLTY8HVmsbzvqknsPuotDDBERETd1VAG28lGeag6ZwLsNjtyshzzv6Q5Z99de7gM9Y1WJIT5Y3palEcvtz/TevoCiOjsKHY7FJMJ9sZG2E0mx7HcxG2j87bzWJxjFOc6z5PHjVBpNFD5+0Ht5weVn7/z2Ln395f3qf30UMnjFvf5+8n7HM9zHKt0OvlXKFF/ZNn9DcIrHX/7D17wExQfr0WTwQr/IB0ShoTJ+z93zv2yMINLB/QmBhiiXqZYrY5wYXQGiFYhw7E1hwwTlEZTuyHDEUYc58jHxP3i/KYmeBWVqjnUtNjL4OO6z79NUJKhyHFfq8faPK/d8KTXAwxN1EfyV34u9zlxwJwRc7FrmaPWZfD4KKg1alQbzFh3pEzet5jdR72KAYa8g90GVBwFivYCRXuA4r1A2WHAbgXUWkCtBlQa57HYa5y3nffJY3WLY+d5Kud9HZyniMcVDewWBXabCnarAsUC2MVmtUMxK7Bb7I77zXbYLTbYzTYo4j6z49hutkJpssq93WxxHDdZYG8yQ2myQLHa+uxtVAUEQC028SEfKPaO262OA/yhDgiU56gDA2QYEO+/vF4RlJoaoTQ2ufdKUyPsct/iPnle672cBENQFBm8bCZTn33f4v9pe6GpuWXI1aLUHJDkXt86UJ0SnvTOYNUqiDnP0/LX54CjKCjOOo5IAOUjoxCgDXAPn06b4Bh99HVWMSw2BWMSQzE8LsTDF9y/8V8geSisHGsOKiK0lGQCFqN8WHwM1qtVqNRoEGK1I9xiB2wqKFa1M2SIY1W7x/K261g+Rxw7ntfRc6D00V/uKgVqjQKV1rFXa1sfy9vy2N58nvPxjo7lc3Qij6mh0mmh0tR1EO5ahr4W4c6uBZq0gC4ACA0BYkIBvxDnFu3ct7wvpPV9Wsd6L4oILRYR3tqEG3cAanQ8JkJQy/vaBiX5vM6DkiNIOUOT+2fKDsVohM3o+BnqExpNc6hpGZDcQUff3A3nfCxo1kyEzHFMO0++Ryk/Cn2++A2lQuDs8+TCjQ1VTdDq1EgeHemcvM7RIsO5X3ofAwz1TVhxBZWiPTCVZqFEaUKJRoMSrRYlWg1Kw/xRrA2F1eCP+JN2jMqxYUSBAmMTUO78w77XadRQ6zVQ67VQyb0Gap3Yi3Cghtq5qXQqx7HIBuJY5AGdyhks0CKIiJDhCiN2qFRWqEQrhWhVUmyO90Zs7mPX/Y4PZMex1fGYjHWdsQE2i9z1KY2fDDIqv2CoOgw7zvuDXMfhpwYjXaDsejodMjSZze0EJdHy1Xh6Qcl1visoNbVzn3gds7n5Amw22S2I0whN1f/8J+IefwyRN9xwWt8reQfDhs8QbFDBrAXGXPgzZO9ytL6kjImCTq/ByQoDdufVQJS9XMmlA3odAwz1HLsNlvLDKMvdiOLinSipOoKS+gKUqOwobRFWagY1V+UHmRSMO6lgQo6CC3IUxNS1+IBow6wBmnTtbSq5t/lpoQkIhCYwCH5BIfALCkNgcDiCQ6MRHBqFsLBYhIfFQRsYLLtOZBeB6EqRXSoBsvjUa7kDja0bAajl/c4ApNibj93nue6zAhYT0FQHNNW32dq7rx6wGBzXZWuCTJlGxyiMMyZag1yhRh/ccYtPi03lF+oMTSHQiH2oOGeQo3WpNwumXS1JHbQyuQKTYm4+FkHJnHMSdcuXo/SZZ2E3mxF92229dp3UO06s/x6izfFYigaLE8bj0707W40+cs28O3tYDGJD/T16rQMBAwx1m12xo8JUgRJDCUoailFSvh/FFQdRWpeHksZKlNibUKFWQXH9JS0K9cOCWr2GxqZgZL6CKSc1mJirRlJBo+hZcVN0WmgyxiLs3PMQNvM8ICYSNSoTymw1KDdXodRYijJjGcqN5XJfZiqTe4P8QBUvZHBujiI6N4uYfQpQVagQFRCF2MBYxAbEOvYttpjAGMQFxiFUH+pdRaGibke8oRovCVkiCLUMNOaGjsNOV/eLcCW2xlrHdrZ0QS2CjisMddIy1GH32Klr16hErU1AABAQgNONSaLFSJ+aiorXX0f5iy/JLreYu+46+++X+obNgrrDZYiGGoZxyaivaEJlYQNUahUGj42W/3+XuVeeZutLX2CAIUn846ttqkWxodgRUIwljr1rq89HmakSVtm/0Q7xWa9xDC3UK0CcNhDx/tGID01FuiUOg4/UITqrEH77jgBGUbvQ3NfhN2wogmbOQtDsWQicMkW2hrQkbiV0cf0iwMhA02YrN5W7Q0+FsQJWxSpDmNgO4mCHr+en8UNMQIwMNSLQiGDTNuyITZw3IIlWjoBwx3Y2RJeaqH1qFWoaTi8AuTbRGiSIMCu2hpKzuzaNvnWw0Z9mAHI/L8gxMkulQsw9d8vi3/JXXkHFa3+RXVIx993nXWGZ2mXP2YrQIsf/p9gLr0DOPkf3UeKwMPgH67Artxq5lUYE6jVYMCbew1c7MDDADBDiA75lIGkZVEoNpfK40daiKLIDakVBrM2GeKsN8XYF8f5RiA9JQXzMKMQnTpVbmEUH49ZtMGzaBMPmzbAUOlZtddFERiJo5kwEzZqFoJkzoIs7+3VCgnRBSAtLk1tnLUhVjVXuFhwRbETAEbflsbNVp6apBk22JhQ0FMitM2F+Ya1ac1wtOC2PI/0joRZdJHQq8cEtPuDFFnKWv/StTc7wU9eiVaizENRBMBLPE2xmwFjp2M6Q6BA1qjUw+ofA6BeM5NTzEH3zi1Dp9Sh7/nlUvv1X2RIT+9BDDDFeruKH/0BvVaEmCJg062psfruw1eijL5ytLxePiUegnh+tfYHvcj8gPmxdIaRty4kIKuKxekt9t14r0mZHvNUiA0qCCClWK+JFYFE0iI8cjuiEidAOmgwkZADRwwGNVv4CNmVmwvDdJtRt+gfKsvY76iucRG1JwOTJcgRG8KxZ8Bs5UjbF9zURIqIDouWGqM7fz1ZdVIayVt1Vrk2cJ1qtxHas+liHr6dVaWW3Vctgc0prTkAsgkXtB5050eUjtqAzm/lUBFyT1QRjUz0MpnIYjZUwGCthaqyGobEaxqZaGMx1MJobYLQYYLQYYbCZYLQ1wWAzw6RYYFBsMCp2GFQKjCrA2iaURFeux5v/uhyjrv1c/rso/dOfUPW3v8t/Q3GPP84Q48Wyt2+FmKYuZ4g/MuwRKD5+QN6fNiEaZqsdyzOL5O1FHH3UZxhgvJzV7ujyaNVq4tqcYUW0KnRHiC4I8ZogxCtAfKMR8fXliG8yIkGEFKsNsTYr/EQZidYfiB8HDJ7oCCqJIqyMkGHF1d1kyctDwyefwrBpM4xbt8JucBZ1OumHDpFhRbSyyG6hwED4CtEtlBSSJLeOiPegzlznDjotW3NabpWNlbLbSjwuts4EagPbrceRxwGOYxG+dN5SB+NB8mfQbpEti0ar0REmWhyLvbztvF8EE9fjrvvbPk+cc1ZE9nDnj9ZBRK/WyZKwCi1wk70Uf/nHApzzi69kS0zJ00+j+h//lN1J8U895ZFwT11orIM1W/yOUwOTxyEns0L2fkYnByM0KgA/HChBjdGC2BA/zBrqKOil3scA4+FfwuIDrm3rScugIj4UxV+GXfHX+CM+KB5xQXFICIxHvNpfhpP4hgrEV55EfMkhBDXmnfpEEVbixgGJEx1BRQSWmJHusOJiq6uDYetWGVhE15CloHXXiiY8vLlbaNZM6OL7dx+w+EtZdB+JbWjE0E4DaKWpslULjqv7qmUxsmghEx+iJ+tOyq0zokvqlLqcNgXJ4X7hXvXXvPgZbhUarM4Q0TZsWA0wWdqEDVcoafM8EQx7q6VOhEm56Ryb6KJ039Y6b4v7tY69mNCs7X3itrhfHOvUOtSb67Fkxc3YVX0Yv/Yz4Pl/XoR5P/8CKu2fUPzkk6j5+BPZEpPw+9/LpR3Ie1j3rUBEmXP5gIuvQc4mx6i79AxH95GreHdhRiI0XDqgzzDA9GI4ER9KxQ3F8sOqvZYTsYm/IrsiuiBEMBEfWiKkuLaEoATEi/vMjQirOAFV8T7n5HA/AE3tjOYQBaeiZcUVVERoiREtK7p2p783ZWY56lg2bZJdRC27hcTU7YETJzoDyyz4jx7FvxzboVU7/98FdV7nIz6Q22vBabWZymQgEi1uYjtUdajD1xMfmK1ac5wtOK7Q4zoWH7Dt/eya7eZTWzVaho1OWjLahpIead3oosXMFRZcQcMVJlyho20AaXlfq8d0gfKPgd4IfyH6EPz1sn/hkVV3Y03JNjwYaMdv/n0pfvLTz6B6/jkUPfoYav/3uQwxiX/+M2f69SI5P3wiW9DyY1SYPvR8fPTuTneAqTVZsPqQY9TjVRM7brWlnsd/Iafps5358of10gmRGD7IjuqmsnaDidjEL+6uqKCS3QItg0m8aEFpcTvKPwoaMepDtFlW5zgmhMsTQeUjQISWxo7CytjmoJLoalnpuPvBnJcnw0rDpk2yCNfe4CxmdNIPGeKuY5HdQkGth0jTmRMfnKm6VKSGpnbaiiEKjNu24LiPnQFIhBsRjAsbCuXW1YeqaL1RoLhDh2gB6c3WDVcLRcvWilbBok0LximhpEUriHhchERfIcLWixe9jT9ueAL/O/kdfheqQ+Vni3H7FR9A9dKLKHzoYdR9tVyGmEHPP+/dcxMNICX7DkN0DJUND0f5USNsVjtCo/0RmRiEj3fkw2yzY0RcCEYlcOmAvuQ7//K9xGv7nkU1dmLTHiOwp+vzRVO+K5SIv8LdLSfOcCI+PNqtaZBh5SSQvbF5Flux7yisxI1p3Q0UO6rLOUNs9fXObiHRyrIZlvz81i8bFiYDi2O00EzoEroazEy9SXz4i+4jsY2IHNHheRabpf3WnDZdWKJVRHRriK0jIiC0DBFtA0RnrR0tu1Bc94kPcG/q2vIEEbiePu85RAbE4N1D/8Drof6o/Pp6PDbvL0h65WUUPLAU9d+tQKHVikEvOkYskecoNfnQ54ppH1QImj0bOXsd3UdpGTHyZ3nZbufcL5MGDfifba8PMD/++CNeeOEF7Nq1C8XFxVi2bBkWLVrUqvn56aefxrvvvouamhrMmjULb731FoYNG+Y+p6qqCkuWLMHy5cuhVqtx9dVX49VXX0VwcPMojMzMTNx9993YsWMHYmJi5PmPPPIIPC0jJQTripxr9tj0sFvDoVjC4YdIjIxJxszUITgnKR3xwY6A0l4TfYdhpcV0+46WlZr256aIG9u6G6gbYcXdLZSV5a5jkd1CthZzz2u1p3YLsS/e54hAnBicKLeOiH+nDZYGRw2OqQwaleaUGg/xsytb/uisWS02NFQ3ITjCD1qdRn7Q3Tv1YUQFROPZ3S/hPyGBqFm9BH+a8Tsk/eU1FN57H+pXrkLBknsx6LVX5fpK5BmGjZ8htF4FiwYYceEvsPkVZ/3LhBjkVxmx/WSVnA1A1L+QlwcYg8GACRMm4Oabb8bixYtPefz555/Ha6+9hg8//BBpaWn4zW9+gwULFuDgwYPw93dMrfzLX/5Shp+VK1fCYrHgpptuwu23346PPvpIPl5XV4f58+dj3rx5ePvtt5GVlSW/Xnh4uDzPkx6adieW2G5GbEAcDhda8FVmMb7NKpYV6Fvzga27gbToJlw5wYIrM2wY4qjxah1WanJbr7osjjsMK2PadAONci+g1x3mggIYNjrqWERri72+9V/b+rQ0d+Ft4DlToQlmt9BAID5ARfeR2NLD0z19OT7PZrGjvqoR9ZWNqKs0OfeO2/WVJhhqHUtkBITocMmvxyFhqGMCwF+OuwnhAVF4ctOT+C44ELXbfouXx9+DpDffRMHdd6Nh/XoU3HU3kt54XS59QX3v+JqvIeJjdpIGkw3JaDLukxPXxQ8Jw5vrjstzZqRHISGsG3+sUo9SKeJPsTN9smg+a9ECI14qMTERDz74IB566CF5X21tLeLi4vDBBx/g5z//OQ4dOoTRo0fLlpUpU6bIc1asWIFLL70UBQUF8vmixeb//u//UFJSAr2z+fSxxx7DF198gcOHD3fr2kQICgsLk18/VKyR0ovEHAA/Hi3Hl/uKsPJgCRrF6smSggvjm3BtciWm++chuHK/I7CYqk99EbWunW6g0acVVgRbQwOM27a5a1ksua1HHqlFt9DMGbJLKFh0Cw3qnTkLFLsCq8UOq9kGS5MNVrMdFrOt1e32HrM22WARzxP3W+zyF35wuB+CI/wRFOHnPPaDPkDL5lrqM6LmwRVQWoYUV1Ax1DZ1ud6mmHJe/LtQa1WY+6uRGDm9uUt2U8EGPLB6CUywYWxTE94Y/FP4hV6B/DvvgmIyIXDaNCS/9aZPTUfQL9jtWH/5aMRmq7D78lQkT3kNWesKMGpmAuZeNxIXvrQe2eUGvPCT8fjplGRPX22/0d3P7x6tgcnJyZGhQ7ScuIiLmDZtGrZs2SIDjNiLlhRXeBHE+aIradu2bbjqqqvkOeedd547vAiiFee5555DdXU1IiIiTvnaTU1Ncmv5BvQVvVaNeaNiMS+xCY2jc5C7fzPM+bsxyHQEkTUNQJvGFUWtgyputCOsuOZZkWHl9JuJRbdQ4/79MqyIriHTvn2ndgtlZMhp+h3dQqNlt5BdBAyzTf7idYcJV4BoEy5aPuYOGy3OazeImLse+n02tH4aGWaCnIHGFWyCIvzdx+KvJIYc6m5Aaahu2WrSOqQ01HQdULR6NUKiAhAa5Y8Q5ybmCBHFnuJYdB2t+uAgsveUY/UHh1BdbMT0heky2MxKOhfvXfIh7v7+Fuz3A27I/R/+GlOOlHf+ivw77pR/lOTdfjuS3/4rW0n7kFK0D6HOGSOiL7gCORvK3aOPsgprZXjx16lx8dj+PW2Et+rRACPCiyBaXFoSt12PiX1sbGzri9BqERkZ2eoc0f3U9jVcj7UXYJ555hn87ne/Q58QjVa1+c2FtaIrSBybqiAaed3llSrAptLipGYwtjUmY7+Sjkx7GnLUqZgVkIhFgwfhgpGx8NedWmdgszlbIUQokK0RIiQ47jMVl8Fw4AiMR47DeLJAtlTYNHrY1WmwDRkBJTQSqug4KGFRUAJDYLUqsBbbYf2oDpamTfI1xS/svqLVqaHVa6D1U8sl58Wxzk/sm2+LQKLTq1s9ptao0dhglrUD4gNE7A3VTWg0WOT7UFNqlFtHxF+6zSHHEWxkK44MPP5yHxCqh5rzNvR74t9TQ1WT7M5pL6R0K6DoREDxPzWkRDtudycwX3zbWGxbno1d3+Vi9/e5qC4xYN5No6H312J87AR8eOWn+PU3v8JJ1OO6yg34q6kKKe++jbxf3wXTzl3Iv+UWJL/7DjS93KpMDqU//BP+ZhXqAoDB6Zfj+Fcn5O+qpJER+OMKR2/ARaPjEeLP0WKe0G9GIT3++ONYunRpqxaY5OReaNL79hEoWf+FzVgHq+IHi+IHq+IPqxIOCxJhDRsGS/gIWEPSYQlKgdU/DlarClG1TRhUVAdrmQGpDRbotldj7fZqbFGpEOGnQ4hWA60CR4tHk022kHRODNebCCRPbP9hsayRXNqoiyUEVOIvx7bhwXlbHOvEfc7HnEGjZfBoFUTae0ynln9h9iTRwiM+cAzuYNMIQ43ZuXcEHWO9GXargrqKRrkB7a9yLK4tKEzfoiXH2VXlbNURx0FhftBoOceNtwcU8fPgCCdtQkqFSf5cdNVZrtGpWwST5pAiWlHEXnRnnm2Lnvh5m75wCCLig7D2n4eRs68Cn/+/3bjsrvEIifRHelg6/rnwc/z6618gu7EcN5gO4o2sJzDindeRf8e9soU176abkfK39+TkkdS7sjdvhPhzOTfdDzjqaNlOHR0JRaPC8n2OpQMWc+mA/hFg4p2zr5aWliKhxZBbcTsjI8N9TlmZY9IfF6vVKkcmuZ4v9uI5Lbluu85py8/PT2697YedY3C86CIo6GB0Rqt138TkXa1nVU1t72232GCG2E6lUuxQ25qgsZmhsZuhdu51gX7wiwiBX1wU/GIiofPXth9C2m3dcIYRvVr+0va1bhZx/eGxgXLriGhhEt1jzSGn+dhQ0+i4XWuWNQmyhae6CaU5HbyYCggMaRlyXC05LVp1wv3kdVHvsIsWlGrRguLq5mkulBWtKOL/bZcBRetoQWnbeuIKKT0RULprxLR4hMUE4Nu3MlFZ0IDPnt2JS+8Yh/j0MDl68cOFn+Pub69DZv1J3GYvxIu77sfUt19B3l1L0XjgAHJvvAkp7/8d2nZao6mHWBphPV7rXD5gDLL3lruHT288VoFKgxnRwXqcO4xLB/SLACO6fUTAWL16tTuwiJYQUdty5513ytszZsyQw6vFMOzJkyfL+9asWQO73S5rZVzniCJeMUJJ55zISYxYGjFiRLvdR31JFTMcSpGpVTeFuxtEtD60abVor7vEdVuEh7w6E7bmVePAoZNIKDmOkRUnMLbiGEKbamVoUSk2uaqKPjXVMVpo9iwEThWjhbjwX2fEh5WsP4jqeGSAaOUy1bm6qBrbhBxHy444Fi05xjqz3MrzOm7R8g/SuUNOy4Ljlq06oquAOggoNY6AckpIqXD8fxBhszsBpbn+pLn1RGwihPZ0a+DZEGHlJ49NwbdvZqGysAFfvLQHF1w/EsOnxiPcPxzvXvEJHvz+NmyszMS9qjr8ftudWPDGa8i99wk0HT6MvOuvR8r770MbzQ/Q3mA9uBqRpY6W19gZv8CBTwzy5yd1bBRe/2q/vP+KCYnQatg66zOjkBoaGnD8uGPo2MSJE/HSSy9h7ty5soYlJSVFFto+++yzrYZRizldWg6jvuSSS2SLihgi7RpGLYp6XcOoReWxCCtiKPWjjz6K/fv3y2HUL7/8creHUffWKCST6JqwK+7AojnDH15bgwHG7dvdU/WbT7ZuqWnQ+mNv7DDsjh2BhrGTcO554+U/Fg7V61vin0djg8Vdh2MQoaZlq44z6HS3aFnvr2kRcpoLjt11OhF+8AvsfyOsxL8Z8V617N6R+wrHbfFedhVQxB8LopvF0YLSXBzrCineFlC6y9xoxcq/H8TJTMf8IlMuHYypl6fJ70XMqPz0mgewvHC9fOxBgx3XTvsL8h74HaxlZdCnp8sQo4trXVdIZ+/oc7+A7f09KIoEQp/+BtuXnZS1LxfcMRZT/rgKTVY7vrpnFsYnsSuvp3X38/u0A8y6detkYGnrhhtukEOlXRPZvfPOO7KlZfbs2XjzzTcxfPhw97miu+iee+5pNZGdmDumo4nsoqOj5UR2Isz09BvQVxSbDY0HDzoCy8ZNMO7dK/rOmk/QaBAwYYKcj0U7dTp+VMfgq6xSrD9aDqvzF7v4TJuWFomFGYNwydh4hAdyhk5vINcOMllbhJzm1puWLTpNxu5Nzy/qhlwtOI69I9i4u7Ai/BEgCka96MO6OaC0rkFxF8lWNXVZ16XWOAKKu5vHWRzrqkcJDPXNgNIdIrxt/fIEdn/vmPZgyMQYXHjjaNlaK5aQeHHT7/CPE5/Lx25qMOPuyS8i7/GXYC0uhi41BakffMCZsnvY+mvGI3afBXunh8NvzOsoPlGLc68ZjsMhCh75byaGxARh1dLz+90fG/06wPgKbwgwlqIiGDZvdqwttHkLbLWtC0l1KSnNawtNmwZNyKnraFQbzPgmqxhf7S2SMz66n6tR4fzhsXL2x3mj4hDA+guf+Etbtti4Q06LVh1ni45o7ekO8WEvA02LGhw5V4475PjJD3wxkqsniPBhrHUVyTaHFNG9I467G1CCnS0ormDSXJMSIIup+2tA6a7DW4qx9l+HYbcpiEkJwaV3jpP/X8Wv6ff3vIGXs/4qz7vS0IgnJ/wBhU//Ta4ML+ZzSvnwA+iTuJhgjzBWYcvcmQivVeHwvVehKGueHKV2/Z9n4tf/24vNJyrx8IIRuHtuxyvR05ljgPFAgLEbDDDs2OGeqt+cnd3qcXVwMIJmTHevLaRPSTmt1y+sMcnK9y/2FOJwSXMtRpBegwVj4nFlRiJmD41mn6wPE8PlxYgqV6Fxe606ohanqyG/gvjDMDCs9Vw5bYeRyxFWOrVsARBFza1H8DhDimxBaZQfqp0Rw9GDI/3c3TttQ4q4Fg5Z71rR8Rp893aWDLOBYXpceud4xA12/A5bduhj/G77nyDGw5xvbMQzIx5C2XPLYM7NhTYhAakfvC/r5ejsNKx6G/n3vAqrGqh47kMc/KYBsakhmH3XWMx8do0sGN/wyFwkR3Jiwd7AANMHAUax29F4wNkttMnZLWRp8Re0Wo2A8ePdawsFjB8HlbZnijiPlNTjq32F+HJvEQqqm4uKo4L0uHx8Aq7MGIRJKeFs3uynQ4aNtSLkOANOy+4qZ0GyscZRq9UdKn81FLMilrvufkBpUSjrCikiKDGg9Awx9PubNzNRVWSQAfPCG0Zh2BTHXFhrT/6Ah9c/hCYomNjYhFdSb0H1az/KP5i0MTGyJcYvnctDnI1djy5A4Jd5OJ6shmrhR8jdX4lpV6ZjR6ANz604jKlpkfj01zM8fZn9FgNMLwUYS0mJO7AYRLdQTetpdnVJSe5Zb4NEt1Avt/6I/32782rw5d5CfJ1ZjCpD82DspIgA2cUkamaGx3GZ94FEjrCqd4ywEkGnqtyIvMJ6lJUa5H12gxV+FgVaOcbN+RwoqFMrqFU79mKz+KuhCtJCG6pHYJgOEUF+iAjSIzxQh8hAsdcjMkiPiEDxmB7hATq2APYQUVf1w98OyA9P4ZzL03DOZYPlHyW7indgycrbUa9YMdRsxpvRV8H094NoOnYMmqgoOcTav0XdIZ0GRcGaK8cg4ZiCvfPTUWt/WE7L8PPfTMW1n+7C0dIGPLt4HH4+9fRa0Kn7GGB6KcDkXnc9jDt2uG+rg4IQOGO6rGMRoeV0u4V6ksVmx6bjFbJe5vsDJTCYm5cUGJUQKsOMGMk0KJwjmfqzWqMFB4pqsV9shXVyn1NhOHWeFAVICNBjfFQwFJ0KZRYLqkxWVBvNqG/sXsFxe0L9tc6Qo0ekCDaBennbFXLEbRmAWhz7aVnD1VEQ3fz5cexblS9vD50SiwuvHyVHQR6tOoI7vr0O5TYTEi1WvBU8G/i4Qg6x1kREOELMyJGe/hZ8jlJ2FLsvuhKBTSocfuARFO1JlXP2ZNwxCpf/ZZNcOmbH/81DWABn3+0tDDC9FGAq3n0XDatWu+dkCRg3DirnXDXexGS2YdWhUtnFtP5oGSwt6hemDo7EwomJuHRsgvxAId9VXt8kA8qBwuaw0rJLsaX4UH+MHRSKMYlhGDtIbKHyvva6GUUYFiusizAjCsnl3miRLXw1zuOW94t9rcnS5WRyHRF1XK5w4w47ga7b7R8PpML1g5uKsP7fR2SgEbUYoi5GdNkVNhTi119dg1xLLSJsNrypHoOg5Yqc7E4s3Jry3nsIGDfW05fvU4r//QRq/rAMBj+g5K5/IXdPLTIuSsFaPzPe25iDS8fF481fOuYwo97BANNLAUa8Xb5WVyI+cL7NKpHdTNtymkcyadViJFOMLP69aHQcAvWcZM1biZ+7otpG7C90hJUDRY6wUlrXvIBpSymRga3CypjEUEQH9+5M1Ta7IkNMeyGnymhGjcHi2Ivb8hwLakwW+bwzIRbRaz/ktAhAbY5FUPK1f78uhUer8d1fs9BksMrwIpYfECOVKk2VuGv5tThoKkaA3Y5XrElIXBUO075MOXAg5b13EeCcWJS6tvGOmYhaV40DowJRPfhl2ZW38MGJuOrTXfIPhnevnyJ/X1LvYYDxgmHU3qioxoSvM4tky4z4EHQJ1Gswf3ScrJeZPSwaOtYxeIz4KzuvyujuApLdQYW1MhC0JT6Lh8QEY2yiI6yMEaElIQxhgd7XKtjR9yq6q9whR4YbizvktAxBIvC4zmnZong69Bq1u/tK7Ntr8Wn7mOgS85bQU1tuxDdvZKK6xCjnCxILQQ6ZFAuDxYD7vrkO22qPQasoeNYUhpEbUmDcvRfqwEAkv/NXBE6Z4unL9342K9bNH4u4QhX2LL4E1VWXywVfh9w8HDd8sEP+nGx7Yp7sRqLewwDDANOl42X1MsiITXxguoh/pJeNT8AiOZIpgiNLepHVZkd2hUEGFFcX0MGiOjQ0nVqDIlrMhsWFyLDi6gIaGR+KIL+B1XImfmWJ90cGGnc3lujqcgafVq0/jr24z3yGK7Br1Cr5b8JR09NcvyNut6zriQxqPic0QCef1xuaRHHvu/uRd9DRmipGx0y+JFXO2vvED7/G92U7xS92PGHQY8aWkTDu3ANVQACS33oTQdOn98o19Re2oxtwcNHt0NqB/Xe+jLJDeoyenYivdI1YtqcQ101PxR8WsUuutzHAMMB0m/gR2JsvRjIVydaZiobmkUyi4Fd0MYkCYPFhSWeuyWrDsdIGR1gRdStFdThUXIdGy6kfrOIvPFF47Q4riWEYFhcMf93Aqfvo6Z9xk8V2au2O69gVdlqEIbE3tiiEPx2iwUYUebYNPKL+7OrJSWcdbsTaUZv+exyZawvk7eFT4zD3upFQaYBn1j+CT/J+kPffWa/g8h0TYNi2Gyo/PyS98QaCZ886q6/dnx1++SYof92K0nAVTs55R87JNO/2sVi0bLf8+fn8rpnyjzrqXQwwDDBn3CIgZpn80jmSqWVLwMj4EBlmrhifyAmculFEfaikrlVx7dHS+na7PkRdhuj+Gd2iZUV0C7Ebz/MaLbY2xczObixnq07bx8S+vp3Ws5YyksPx7NXjeuQPgv0/FuLHj4/KiQjj0kJlca9YVfvtbc/izSOOteWuqbfi+l2TYNiyWw44GPSX1xAyZ85Zf+3+aM0vJyJhVyP2TBuN6oC75VIO0b9Kw9L/ZWFwVCDWPjTHa7oT+zMGGAaYHvnlvfpQmSz+XXekHGZbc0vBlNQI2Spz2fhE+dflQFbXaJHdPrLA1rk/Ud7Q7rxw4q9yEVBEi8oY2bISisFRQeym60dEV1WNyRluWrT2FFQb8eHmXPlHgegOvP28dNx74bCzblUrOFyFFe/sl2ttidmVL7t7PKKTQvBp5t/wx92vQFEBCxrMWLJrEoyb9wIixLz0IkIvuqjHvud+oakBG+dOQVSVCrt+eh9qy4fL+qJ/awzYcKwC988bhvvncW6dvsAAwwDT43OLrDhQLFtmtmRXuofLil/E5w6LlsW/ojK/v9djVDY0uUcAHXAW2J6sbK4fakmM+hknwoocBeQYCSQmF+RfcANXSW0jnv5qP74/UCpvp0YF4s9XjcOsodFn9bo1pUY5c6/Ya/00uOim0UjPiMEPx77AY5t+A4tYCNZgxm92ZcC4KVMuHjvo/72A0Esu6aHvzPfVb/gXCm77E+wqYMfit2GotGHatcPwsxWZ8o+R9Q/PQWpUkKcvc0CoY4BhgOnNX8KukUxZhc0LVAboNDLEiJaZc4fF+HSlvvhnIYYou1tVnHOtiKHM7RG1QmNadAGJFpbYUP8+v27yDSv2l8gg4xoGv3jSIDx52eizas1sNFjw/bv7UXC4GmKC5RmLhmDi/BRsL9iIe9fcAyPsGG0y45kdY9C06ZBc6iTx2WcQduWVPfid+a4dT16O4P+ewNHUeBSk/Ua2imqvTsKfVh7F5NQI/O/OmZ6+xAGjjgGGAaYviK4SEWS+2lvYqiVCFC5eOi4BCyck4pzBkV7dRSL+CYjJ31zFta6hyy2LmVtKiw5qDivOlhVOCEinq77Rghe+P4J/bs2VLZpiRNNvLh+NqyYOOuNWOrFO1sZPjsnaGGHk9HjM+eVIHK7ej7tW3IgqxYKUJgte2TYU1k0nZLVxwh//gPCrr8ZAt2rRGAw6bMf2CxajwX4hkkdH4m2lHgeL6+TIIzECifoGAwwDTJ8SP0aZBbUyzCzPLJITPrkkhvnjCjGSacIgjEoI8WgXipg0TUyr75pbxRVW6tqZOl9krmGxIXJuFVdQEYW2If6+MccK+YbdedV4/H9ZOFLqWGFerCj/p6vGnlV3Rda6Amz49Jgs7k0YEoZL7hiHMnsRfr38GhTajIixWPHG5iRgs2MUU/xvn0bEz3+OgUqpKcSuuRciyKTCloXPwVQbjJGXpeKWTYeh06iw/Yl5/COlDzHAMMB4NCRskSOZCmVTectRGcNig7Fo4iBcOaH3RzKJ6fDlsGXn3CoisIi/ptobGismOBseH9yquFaMEhlI09WTZwt/392QjVdXH5PHflq1LBi99dy0Mx6NlnewEt+/e0DOJCtWCxcz99oijLjjy5/gmLkawTYb3t4YA/3mMnl+3BNPIPL66zAQFX32R9T+5t+oDQrFrqnPyHXCGubH4a3tJ+UEn+9cz0kA+xIDDAOM14xkWndEjGQqwurDZa0mE5uUEi6Lf8WkeWc7zb34OkdK6lt1AR0uqW938jIxBf3ohBZdQINCZUuLL9fsUP8gWgf/b1mWnMrANXXBs1ePl0Ovz0R1iQFfv5GJunKTHBI8/9YxiByhx5Ivr8FuYwH0Njve2hCKkC018vzYhx9G1C03Y6D5ccl5iFlZjt0TzkdNxM8QOzgELyl1KK5txFu/nIRLxiV4+hIHlDoGGAYYbyPWyRFzy4jVsjefqHAPMxaTeolmc1H8O39MPIK7GMkkhqGKCeBadgEdK2tod02dED9tcxeQc58eE9xrs6QSnS3xK/l/uwvxx28OyqHYosf1hhmD8dCCEV3+22hPY4MFK97JQuHRGlncO+vqoRhxfgwe+fYGrKs5BLXdjr9s8EfMZkcNW8z99yH6jjswYCgKVs8fjcR8YNNFj6DJkoqEc+OxNCtHLiOx48l5XC29jzHAMMB4tbK6RizPLJbFv/sKalu1jlw4Kk4uYyAWmjSare65VfYXOcKK+Cu1vZ9aMYKjZXGtGA2UHBHo1QXERJ0N2f/jN4fkFPZCQpg/fr9w7BktJGiz2uWEdwc3Fsnbo2YlYNY1Q/CnNfdgWekWed8LP6qRuslRuB59112IXnLPgBjyb83dhYOX/goq+GPD+f8Pil2Fwulh+OhwCa6dmoJnFo/z9CUOOHUMMAwwvkIEEtEqI2pmxLpALqIOoKmD9WviQ/1brbYsjsV9A+EXLg0sG46V4/+W7XevV3bJ2Hj89soxiDvNYfqy0H5NATb995j8AyBxWDgW3D4G7+z+Lf528mt5ztMbFYzZ4KgRi7rtVsQsXdrv/00dfOMOqP6yHsdTJiEv/RaExgbgOdShwWzFZ3fMkKMoqW8xwDDA+Bzxoyi6hESQ+WpfEcqcI5lSIgPdYUW0sIh9TMjZ1cwQ+drSFKLAVxT6iq5S0TX66CUj8YupKafdwpi7vxLfv7cflkYbQqNFce8EfFP4Dp4/+Hf5+IObbZi23vGxEHnD9Yh97LF+HWJW3TAZg7YZsXnWbWjUZSBkYiSeyimUk07++PBctuB6AAMMA4xPE7+kxRwzcSH+CAvksGUiQYyme/zzTHe3q5hgTXRxDI8LOa3XqSxqwLdvZqKuohF6fw3m3zYWWfgOv9nxHKwq4I5tVlywxnFuxC+uRdyTT0Kl7odF7lYz1s8Zj+hKHdbPFd1HOhweE4jlhZVYcsFQPDh/hKevcECq6+bndz/8iaT+QBTZil/KDC9EzcQ8RJ/fNQtPXzFaLgK6K7cal722AS/+cESOxOuuqMRg/OSxKUgYGgZzow3fvL4PyaXn49XZzyFAAd6epsVX8xU50V31R/9BydNPQ7G3353ry+r3fIPYChWqwofJ8OIfosO3RVXyMTHdA3k3BhgiIh8L9zfNSsPKpedj3qhYucL5X9YcxyWvbpDzL3VXQLAeC++biJEzE2RNzMZPj8G+LR1/vfBdhEGNf03W4eOL7TLE1Hz2XxQ/8X9QbN0PSb7g4Lf/lPvclAlyb433h01RMCEpTK4IT96NAYaIyAclhgfg3eun4M1fTpI1YaIY/tp3t+KR/+5DjbH9ZTDa0ujUuOC6kZi5eKgcYn1gQxFy/+uH9y74GHEqPT7P0OH9yxU5LXXtF1+g6JFHoVhPnbXaV9VkHoMCFeojMuTtbWaT3IvlHMj7McAQEfkoUVwr1hxbtfR8/HJairzv050FmPfSelkM350SR/EaYtHHS+8cLye7KzxSjZ3v1uCtWf9FmiYI343V4s0rFSgaFeq++QaFSx+EYu5eQPJmirEK4SctqAtNhR0h0Pipsb6mXrZwXTEh0dOXR93AAENE5OPCAnT401Xj5LDfobHBciHS+z7eixvf34F85/DrrqSNj8bihycjONIPtWUmrH8jH8+N/QTj9VFYN0qLlxdBhpj6H35AwX33w+7jIaZw1fsINahQEuPoPmqK9oNNBTn/VNRZzgxOfYMBhoionxBzlnxz72wsvWi4XN9r/dFyzH/5R7zz4wlYbV0X4UYnBeOnj52D+PQwNBmtWPtONpbG/h2zglKwdbgGz12tgl2rQsPatSi4+x7YGxvhq46v/UbuS+MdAWYru498DgMMEVE/Iqa9v/fCYfju/nMxLS0SJosNf/72MBa+sQmZBY41jzoTGKrHwgcyMGJavFzNeutnJ3GN+f/h0rDx2D1EjT/8VAWbTgXDhg3Iv/NO2E2OD35fYz5UAkNgHKy6OKjUKuwym+T8Omcy0zF5BgMMEVE/JEbRfHz7dDx/9XjZxSSW5Fj0xib84euDMLRYIb49Wp0GF944CtMXpcvbB38sxszch/CrqAtxYLAav7tGDasOMG7Zivzbfw27oXkGbV9gKTmM2AIF5dHj5W1ThBZmFXDJuHj467juka9ggCEi6qdEge7PzkmWRb5XTkiUC6j+bWOO7FZac7i0y+dOvngwLvn1OGj1ahQcqkbSjp/j3phf4nCyCk//XAOzHjDu2IG8W2+Drb4evuLI8rfgZwVKYh3dR9ssjq4wzv3iWxhgiIj6OTHM+rVrJ+KDm86RU+QX1phw8wc7cfdHu1FW33kdS/rEGCx+aDKCI/xQU2qEatVMPBG5FCcGAU9fq0GjH2Daswd5N98CW23zwqzerGjLFjTpw2AMTpO3D8CMxDB/TE+L8vSl0WlggCEiGiDmjIjFDw+ch9vPSxdTu+CbzGLMe3E9Pt6eB7tonulATEqInLk3Li1UFvfWfDcYTwX9CfkJKvzmlxoY/YHGrCzk3nQTrNXV8Gp2G7Qn6t3dR4ZgDQxqYOHEQVz3yMcwwBARDSCBei2euHQUvrpntlwkta7Risc+z8LP39mK42UNHT4vKMwPix6YiGHnxMmwU7I6BE9YX0F1jBa/+ZUGDYFA08FDyLvhRlgruz8jcF+r3b8ScaVAhTPA7LE7WqA4+sj3MMAQEQ1AYweF4Yu7ZuHJy0YhQKfB9pNVuPTVDXhl1VE0WdtfMkCr1+Cim0dj2pWOrpeSnSosqXwNlvBgPPkrDWqDgKajR5F7/Q2wlJXBGx38+n3YtAGoinAs1HhYY5Or3J/ugpjkeQwwREQDlFajxq3npstupTkjYmC22fHKqmMyyGzPcSxq2F5x75RL07DgtrHQ6tSoPG7FdXkvICQ4QbbEVIUA5hMnkHfd9bCUlMDb1Ow7jMrI0YBKA4OfCtUaha0vPooBhohogEuODMT7N56Dv1w7EdHBepwoN+Bnf92Cxz/PRK3R0u5zhk6OxVUPTUJQmB71ZRYsOPwkBuvHyRBTEQqYc3ORK0JMYSG8hdJkQFi2GRXRjtFHWTDLWiAxQot8DwMMERHJlhWxBtDqpXNw7dRked9/tufjwpfW4+vMonbXVYpNDcVPHjsHsakhMBttmHTwdky2XyRDTEk4YMnPx8lfXQdzXh68Qf66DxDWoEVl5Bh5+5jOhtnDYhAb6u/pS6MzwABDRERuYYE6PLN4PD65fTrSY4JQ0dCEez7ag1s+3ImC6lPXVRLDqxc9OAlDJsXCblMw+MgVuMhwPX77Sy0KIwFrcTFyr7sOTdk58LRjq76QtS82rT+MGqBEo2Axu498FgMMERGdYlp6FL6771zcd+Ew6DQqrDlcJifAExPh2doMudbpNVhw6xicc9lgeTs8dwoWlT+EP/48EPnRgLW0zBFijh+HJ5kPFblHHx3RWBHop8H8MVw6wFcxwBARUYfrKj1w0XAZZM4ZHAGj2SaXIhBLEuwvbD1pnVhPaOoV6Zh/yxhotGroy5Lx04Lf4IWfxuBkLGCrrJQhpvHIEY98L5aqfMTmNS8fcFxnw8Vj4uWwcvJNDDBERNSpobEh+OT2GXhm8TiE+GuRVVgrF4d85ttDMJpbr6sk5olZ9OBEuSgk6kJxVfb/4a0rh+BEPGCrrpEhxnTgQJ9/DweX/wUW/8Gw6EPRpFKQp7XjqknsPvJlDDBERNQlMUvttVNTsHrp+bhsfILsRvrrj9myW2n90fJW58anhcmZe6OTg6E06bAg+wH8Z/40HE0E7HX1yL3hBpgyM/v0+os2bUC5c/TRCa0N0aF+mDkkuk+vgXoWAwwREXWbGLHzxi8m4W83TJHrBxVUm3DD37fjvo/3yIJfl5BIf7mGUnpGDGBXYWbe9Vh57kIcTFJBaTAg98YbYNy9u28uWlGgOVbjDjBi9NHCjERouHSAT2OAISKi03bhqDisXHo+bp6VJudS+XJvES58cT0+3ZnvHnKt89Pg4tvHYvLFqfL2qNL52D35dmQO9oNibETuzTfBsG17r19rzbFNCK+LhykwFjbYkaOz46qJSb3+dal3McAQEdEZCfLT4qkrRmPZXbMwKiEUtSYLHvlvJq59dyuyyxvcxb3TFw3BvJtGQ61VIbF2PLJHLcXuIRFAoxl5t90Cw+bNvXqdB776KyqjHK0vJ7UKhiSEYHRiaK9+Tep9DDBERHRWJiSH46t7ZuHxS0bCX6fG1uwqXPzqBvxl9TGYrXZ5zohp8bhq6SQEhOgQakpCWdqj2DYqDTBbkXv77WhYv77Xrq96935395EYfbSIc7/0CwwwRER01nQaNX59/hCsfOB8nDc8RgaXF1cexWWvbcCuXMe6SvHpjuLeqEFB0FtDUB9/HzZNmAKV1Ya8u+5E/erVPX9hNgsC8v1RH5oKBQpO6B31L+T7GGCIiKhH11X68KZz8OrPMxAVpMexsgZc/dYWPPlFFuoaLQiNCsDihydj8PhoqBUdmiJuwvoplwM2IH/JEtStWNGj15O74Z+w6xxzvxSrLcgYFoWEsIAe/RrkGQwwRETU4+sqLcwYhFVLz8dPJzuKZf+1NQ/zXlyPFfuLZXHvJXeMw8T5KfIxW/AlWDfjZtihRcHSB1Dz5Zc9di1Hfvive/K6o3oVi3f7EQYYIiLqFRFBerzw0wn46LZpSIsOQll9E+74127c/s9dKK1vxMzFQ3HB9aOg1qig+E3C+plLYdaGoejRx1D930975BpMB8pREz5cHucFKLh4bHyPvC55HgMMERH1KjFhnFiOYMkFQ6FVq7DyYKlsjflgUw6GT4/Hwgcmwj9YB2hTsHH6o6gPSUHxk0+j4t8fntXXNdeXwa9hFBS1BgbUY9r4OAT7cemA/oIBhoiIep2/ToMH54/AN/eei0kp4TCYbfjt8oNY/NZm1Aap8dPHpiAyMQgqdRh2THoAZTGTUP6HZ1H63htn/DUPfP0X1IU7Rh9l+em5dEA/wwBDRER9ZkR8CP57x0z8YdFYhPhpsS+/Blf8ZSPe2pmLy+7PQOrYKKhUehwYcwtyUi9B5f97HQV/efaMvlb+jxtQFTlaHpeFaXHuUC4d0J8wwBARUZ+vq3Td9FQ5k69YEdpqV/DWuhO44q+bEXZRIiZcmCzPy0m7HAdG3YSatz7CyeefPO2vYy2MhU3jB7tSh5lTEqDV8COvP+H/TSIi8oj4MH+8fd1kvHPdZMSH+iO30ojr3t+Oz+0GnPPTIVCpgbK4KdidcT9q/rUSR39/r3uZgq5U5+6Gohonj3O0jVg8yRGKqP9ggCEiIo+aPyYeK5eehxtnDoZKBXy+pxC/3nQE4ZckQRegQn3oYOyc9AhqvjqEA4/f3K0Qk7nsDVRGOYZPF8XHYewgLh3Q3zDAEBGRx4X46/DbK8fg8ztnYmR8CKqNFjyx6Ri2DfFDQJQWTf4R2DVxKSo3mrDn/p91GWJK99TAog8B7EacOzNJzk1D/QsDDBEReY2JKRFYvmQ2Hrl4BPy0aqwuqMbLigFKnBZ2jR/2j70dpYcGYesdl3UYYhSbDbaGEfLYoCrEQo4+6pcYYIiIyOvWVbprzlD88MB5mD00GvV2O15srEdOuGNhyOz0K1FYdh7W33ihDCttZW/7FMZgx/DpokFJSIoI7PPvgXofAwwREXml1Kgg/POWqXjpZxMQHqTDf9GElYGNUGBDadxU5Jt/ge+vWwC72dzqefu//gGNATFQ2S2YduEYj10/9S4GGCIi8lqidmXxpCSsfnAOFk8ahL16BZ8GWaDAhLqwdBTo78BX110Fi6ne/ZzavEjHge0ELmX3Ub/FAENERF4vMkiPl36WgX/dMg2IC8DfQlSwogpN/pEoCb0Hy268HabaMpiNtbA5h0+bYuwIC9B5+tKpl6iU7g6q9zF1dXUICwtDbW0tQkM5fI6IqL8wmW14bc0xfLguG7fUlMMfyYBiR1jdcsTNDcbR3RfK22k3DsGlM9I8fbnUS5/fXt0C88Ybb2Dw4MHw9/fHtGnTsH37dk9fEhEReViAXoNHLx6J/903GxvGDkEtDkPMelcbthB5m8bKc/RN2Zh3TqqnL5V6kdcGmE8++QRLly7F008/jd27d2PChAlYsGABysrKPH1pRETkBUYlhOJ/d81C4nWXoEy1V7a6NAbEycdUgYXQa732I456gNf+333ppZdw22234aabbsLo0aPx9ttvIzAwEH//+989fWlEROQlNGoVbpyVhl8/cycMEQegsRrl6KOhF8/w9KXRQAwwZrMZu3btwrx589z3qdVqeXvLli3tPqepqUn2m7XciIhoYEgMD8DDz9yL4YujkTqjEXOuvNjTl0S9TAsvVFFRAZvNhrg4R1Ogi7h9+PDhdp/zzDPP4He/+10fXSEREXnjkOsLLp3u6cuggdwCcyYef/xxWbHs2vLz8z19SURERDSQWmCio6Oh0WhQWlra6n5xOz4+vt3n+Pn5yY2IiIj6P69sgdHr9Zg8eTJWr17tvs9ut8vbM2awMIuIiGig88oWGEEMob7hhhswZcoUTJ06Fa+88goMBoMclUREREQDm9cGmGuuuQbl5eV46qmnUFJSgoyMDKxYseKUwl4iIiIaeLiUABEREXmNfrGUABEREVF7GGCIiIjI5zDAEBERkc9hgCEiIiKfwwBDREREPocBhoiIiHwOAwwRERH5HK+dyO5suaa3EePJiYiIyDe4Pre7mqau3waY+vp6uU9OTvb0pRAREdEZfI6LCe0G3Ey8YvHHoqIihISEQKVS9WgyFKEoPz+fM/z2Mr7XfYPvc9/g+9w3+D77/vssYokIL4mJiVCr1QOvBUZ800lJSb32+uJ/GP9x9A2+132D73Pf4PvcN/g++/b73FnLiwuLeImIiMjnMMAQERGRz2GAOU1+fn54+umn5Z56F9/rvsH3uW/wfe4bfJ8Hzvvcb4t4iYiIqP9iCwwRERH5HAYYIiIi8jkMMERERORzGGCIiIioT9x4441YtGhRj7wWAwwREdEANmfOHNx///29/pyexgDTATE98s033yynMtbr9UhNTcV9992HyspK9zmff/455s+fj6ioKLlcwd69ez16zf31vbZYLHj00Ucxbtw4BAUFyfOuv/56uVQE9ezP9G9/+1uMHDlSvs8RERGYN28etm3b5tHr7o/vc0t33HGH/P3xyiuv9Pm1EvkyBph2ZGdnY8qUKTh27Bj+85//4Pjx43j77bexevVqzJgxA1VVVfI8g8GA2bNn47nnnvP0Jffr99poNGL37t34zW9+I/ciOB45cgRXXnmlpy+/3/1MDx8+HK+//jqysrKwceNGDB48WIb08vJyT38L/ep9dlm2bBm2bt0qww51rqmpCffeey9iY2Ph7+8vf/fu2LFDPrZu3ToZAsX7LN7/wMBAzJw5U/6eaOnLL7/EpEmT5PPT09Pxu9/9DlarFQO9S2f9+vV49dVX5XsotpMnT8r7pk6dKud5SUhIwGOPPeZ+rzp6js1mwy233IK0tDQEBARgxIgR8pxeI+aBodYuvvhiJSkpSTEaja3uLy4uVgIDA5U77rij1f05OTliLh1lz549fXylA++9dtm+fbt8z3Nzc/voSgfm+1xbWyvf51WrVvXRlQ6c97mgoEAZNGiQsn//fiU1NVV5+eWXPXDFvuPee+9VEhMTlW+//VY5cOCAcsMNNygRERFKZWWlsnbtWvlzOm3aNGXdunXy8XPPPVeZOXOm+/k//vijEhoaqnzwwQfKiRMnlB9++EEZPHiw8tvf/lYZyGpqapQZM2Yot912m/w5FZv42RQ/r3fddZdy6NAhZdmyZUp0dLTy9NNPd/gcq9WqmM1m5amnnlJ27NihZGdnK//617/k63zyySfuryf+vy1cuLBHrp0Bpg3xj0GlUil//vOf231c/A8T/2jsdrv7PgaYvnuvXVauXCmfKz5gqXfe56amJuWFF15QwsLClPLy8j662oHxPttsNmXu3LnKK6+8Ih9jgOlcQ0ODotPplH//+9/u+8SHpQg0zz//vDvAtAza33zzjbzPZDLJ2xdeeOEp/2/++c9/KgkJCcpAd/755yv33Xef+/YTTzyhjBgxotXvhDfeeEMJDg6WP7vtPacjd999t3L11Vf3SoBhF1IboulXBLtRo0a1+7i4v7q6mk3qHnyvGxsbZU3Mtddey9Vme+F9/vrrrxEcHCyb2V9++WWsXLkS0dHRfXzV/ft9Ft3OWq1WdolQ106cOCFr4WbNmuW+T6fTyS6OQ4cOue8bP368+1h0ewhlZWVyv2/fPvz+97+XP9uu7bbbbkNxcbHspqZm4j0VXZ6ia8hFvPcNDQ0oKChAZ9544w1MnjwZMTEx8j1+5513kJeXh96g7ZVX7Qe6WmFBFOdR37/X4pfYz372M/mct956qw+ubuC9z3PnzpUF6RUVFXj33Xfl+y0KeUXtAZ39+yyKfEVdgKjnavkBQWdPhBoX13trt9vlXnz4ipqXxYsXn/I8Edbp7H388cd46KGH8OKLL8oAFBISghdeeKHXBgKwBaaNoUOHyh/8lqm+JXG/SJbh4eF9fm0D/b12hZfc3FzZKsDWl955n8UIJPGc6dOn429/+5tsKRB76pn3ecOGDbJVICUlRb63YhM/0w8++KAsmqZTDRkyRAbsTZs2ue8Tvw9EEe/o0aO79RqieFcU9Yr/T203tXpgfxTq9XpZgNuytXDLli2twrh470UgSUpKavc5rnNE8fRdd92FiRMnyvdWtJ71loH9f60dYkj0RRddhDfffBMmk6nVYyUlJfj3v/8tK7Cpb99rV3gRzfSrVq2Sz6W++ZkWf8GKESDUM+/zddddh8zMTNnK5drEKKSHH34Y33//vceu35uJUH3nnXfK92jFihU4ePCg7P4RXT9i1Et3PPXUU/jHP/4hW2EOHDggA6VoMXjyyScx0A0ePFi2koiRRKLlVQQQ0VK4ZMkSHD58WI7eEitPL1261B322j5H/J4YNmwYdu7cKX+Ojx49KkeOukaK9YoeqaTpZ44ePSorrkUV+/r165W8vDzlu+++U8aOHatkZGQo9fX17qI9UbjrKhb7+OOP5W1RkU09916LYr0rr7xSju7Yu3evu+pdbKLQlHrmfRaFko8//riyZcsW5eTJk8rOnTuVm266SfHz85MjZajnfne0xSLeroli3CVLlsj3V/xMzpo1S45GFFxFvNXV1e7zxe9icZ8YZOGyYsUKOTIpICBAjkiaOnWq8s477ygD3ZEjR5Tp06fL98X1nonRXOecc46i1+uV+Ph45dFHH1UsFkunz2lsbFRuvPFGWfgfHh6u3Hnnncpjjz2mTJgwwf08jkLqA+J/hnij4+Li5MgC8T9o8eLFisFgcJ/z/vvvy/vbbq6hZtQz77VrlFd7m/jFRT3zPosPiKuuukqO7BC/tMToDBEcXR8S1HO/O9pigCE6fSrxn95r3+k/RPPZSy+9JGsvRG0A9R6+132D73Pf4PtM1DsYYE7D+++/j9raWjn0caAXffU2vtd9g+9z3+D7TNTzGGCIiIjI5/BPASIiIvI5DDBERETkcxhgiIiIyOcwwBAREZHPYYAhIiIin8MAQ0RERD6HAYaIiIh8DgMMERER+RwGGCIiIoKv+f8ryzcnduNOeAAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 65
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:07:27.387988Z",
     "start_time": "2025-05-26T10:07:27.341524Z"
    }
   },
   "cell_type": "code",
   "source": "df.groupby('team').Q1.count().plot.pie() # 各组人数对比",
   "id": "a76f50ca6c92e6b9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Q1'>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 72
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-26T10:10:03.297627Z",
     "start_time": "2025-05-26T10:10:03.138585Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df.to_excel('team-done.xlsx') # 导出 excel\n",
    "df.to_csv('team-done.csv') # 导出 csv"
   ],
   "id": "eddca563996adaa9",
   "outputs": [],
   "execution_count": 73
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
